All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

How Much End-to-End is Tacotron 2 End-to-End TTS System

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962412" target="_blank" >RIV/49777513:23520/21:43962412 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007%2F978-3-030-83527-9_44" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-83527-9_44</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-83527-9_44" target="_blank" >10.1007/978-3-030-83527-9_44</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    How Much End-to-End is Tacotron 2 End-to-End TTS System

  • Original language description

    In recent years, the concept of end-to-end text-to-speech synthesis has begun to attract the attention of researchers. The motivation is simple – replacing the individual modules that TTS traditionally built on with a powerful deep neural network simplifies the architecture of the entire system. However, how capable are such end-to-end systems of dealing with classic tasks such as G2P, text normalisation, homograph disambiguation and other issues inseparably linked to text-to-speech systems? In the present paper, we explore three free implementations of the Tacotron 2-based speech synthesizers, focusing on their abilities to transform the input text into correct pronunciation, not only in terms of G2P conversion but also in han- dling issues related to text analysis and the prosody patterns used.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/GA19-19324S" target="_blank" >GA19-19324S: Fully Trainable Deep Neural Network Based Czech Text-to-Speech Synthesis</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Text, Speech, and Dialogue 24th International Conference, TSD 2021, Olomouc, Czech Republic, September 6–9, 2021, Proceedings

  • ISBN

    978-3-030-83526-2

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    12

  • Pages from-to

    511-522

  • Publisher name

    Springer International Publishing

  • Place of publication

    Cham

  • Event location

    Olomouc, Czech Republic

  • Event date

    Sep 6, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article